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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2259
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    Explanations

    phrases related to specific events, locations, and titles

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to societal issues and cultural discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     explorers
    -0.56
    rients
    -0.53
    HC
    -0.51
    orius
    -0.49
    romeda
    -0.48
    roma
    -0.48
    pg
    -0.48
     proble
    -0.47
    ggle
    -0.47
    ggie
    -0.47
    POSITIVE LOGITS
    cipled
    0.58
     Soros
    0.57
     consulate
    0.56
    isan
    0.56
     Memor
    0.53
     Benghazi
    0.53
     ISIL
    0.53
    wagen
    0.53
     Telegram
    0.53
    Lago
    0.52
    Activations Density 1.716%

    No Known Activations